Evidence map›Paper›PMID 35106680›Full record

ArticleVisual computing for industry, biomedicine, and art2022

Non-rigid registration of medical images based on

Qi Zheng, Chaoyue Liu, Jincai Chang

Abstract read
In one paragraph

Article in Visual computing for industry, biomedicine, and art, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qi ZhengCollege of Sciences, North China University of Science and Technology, Tangshan, 063210 China.
Chaoyue LiuCollege of Sciences, North China University of Science and Technology, Tangshan, 063210 China.
Jincai ChangCollege of Sciences, North China University of Science and Technology, Tangshan, 063210 China.ORCID 0000-0002-5605-2032

Funding

Ministry of education production university cooperation education project 201802305012Tangshan Innovation Team Project 18130209Bthe National Science Foundation of China 61702184
6 · The paper itself

Abstract

In this study, a non-tensor product B-spline algorithm is applied to the search space of the registration process, and a new method of image non-rigid registration is proposed. The tensor product B-spline is a function defined in the two directions of x and y, while the non-tensor product B-spline

Indexed as

Boundary triangle domainDiagonal directionNon-rigid registrationNon-tensor product type B-spline

Identifiers

PMID35106680
PMCPMC8807800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.